tegwick
dfe56a4f9b
- coverage.py: rewrite module docstring to explain what the metric actually computes (domain × chapter cross-tabulation, not VSM system coverage), what it does not capture (entity connectivity → C3), and when the threshold is appropriate - CoverageReport: add domain_densities, density_std, cross_cutting_ratio for distribution-level insight beyond the aggregate ratio - check_coverage: compute per-domain density and cross-cutting ratio - METRICS-METHODOLOGY.md: correct C2 section to match implementation, document the distribution-based interpretation, add implementation status table distinguishing what is wired vs planned Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This example provides a tutorial and reference experiment for how to set up a viable infospace with history using markitect.
The task is to capture the knowledge from Adam Smith's The Wealth of Nations available digitally in the public domain as a transcript of the original text and transform and extend it to a collection of concepts and entities from a systems theoretical point of view based on Stafford Beer's Viable System Model that is consistent and complete.
The tutorial should explain how to use the concept of schemas to provide a scaffolding for how to structure the necessary information entities and define a set of prompts and instructions using the prompt dependency resolution infrastructure to incrementally inject chapters of the book.
The information space should utilize the option of keeping changes as git history. And define metrics for completeness and consistency.
While running the experiment no changes must be made to the markitect infrastructure.
If demand for optimization or fixing errors occurs, a list of corresponding tasks should be generated. It will be used to optimize the markitect infrastructure to then rerun the experiment to optimize tooling and infospace over time and again.
--worsch, 10th Feb. 2026